Evidence map›Paper›PMID 32322347›Full record

ArticleJournal of graduate medical education2020

E-ASSESS: Creating an EPA Assessment Tool for Structured Simulated Emergency Scenarios.

Caroline Andler, Sneha Daya, Katie Kowalek, Christy Boscardin, Sandrijn M van Schaik

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The Reliability of Rater Variability.Journal of graduate medical education · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Caroline Andler
Sneha Daya
Katie Kowalek
Christy Boscardin
Sandrijn M van Schaik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe entrustable professional activity (EPA) assessment framework allows supervisors to assign entrustment levels to physician trainees for specific activities. Limited opportunity for direct observation of trainees hampers entrustment decisions, in particular for infrequently performed activities. Simulation allows for direct observation, so tools to assess performance of EPAs in simulation could potentially provide additional data to complement clinical assessments.

objectiveWe developed and collected validity evidence for a simulation-based tool grounded in the EPA framework.

methodsWe developed E-ASSESS (EPA Assessment for Structured Simulated Emergency ScenarioS) to assess performance in 2 EPAs among pediatric residents participating in simulation-based team training in 2017-2018. We collected validity data, applying Messick's unitary view. Three raters used E-ASSESS to assign entrustment levels based on performance in simulation. We compared those ratings to entrustment levels assigned by clinical supervisors (different from the study raters) for the same residents on a separate tool designed for clinical practice. We calculated intraclass correlation (ICC) for each tool and Pearson correlation coefficients to compare ratings between tools.

resultsTwenty-eight residents participated in the study. The ICC between the 3 raters for entrustment ratings on E-ASSESS ranged from 0.65 to 0.77, while ICC among raters of the clinical tool were 0.59 and 0.57. We found no significant correlations between E-ASSESS ratings and clinical practice ratings for either EPA (r = -0.35 and 0.38,

conclusionsAssessment following an EPA framework in the simulation context may be useful to provide data points to inform entrustment decisions as part of resident assessment.

Indexed as

Clinical CompetenceEducational MeasurementHumansInternship and ResidencyObserver VariationPediatricians

Identifiers

PMID32322347
PMCPMC7161329

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.